Neural optimization meets predictive routing. SILICS manages capital allocation across Jupiter, Orca, and Drift with sub-millisecond precision.
SILICS operates through specialized components that maximize yield while minimizing risk across Solana's liquidity ecosystem.
Forecasts pool performance across Jupiter, Orca, and Drift using historical flow analysis and real-time market sentiment.
Autonomous inference engine managing capital allocation decisions with adaptive learning and risk-adjusted optimization.
Continuously rebalances positions based on market conditions, MEV opportunities, and gas efficiency calculations.
Monitor SILICS Core operations and optimization cycles in real-time.
SILICS Core operates autonomously once initialized, requiring zero manual intervention.
Link your Solana wallet to SILICS Protocol. Your capital remains in your custody—SILICS operates through delegated transaction authority.
Set risk tolerance, target APY, and liquidity allocation preferences. The Neural Optimizer adapts strategy within your defined boundaries.
SILICS Core analyzes market conditions across Jupiter, Orca, and Drift, then deploys your liquidity to optimal pools automatically.
The Predictive Router monitors performance in real-time, rebalancing positions as market dynamics shift—24/7, with sub-millisecond execution.
SILICS leverages Solana's performance characteristics to deliver institutional-grade liquidity management at retail accessibility.
The complete SILICS codebase is open source and available on GitLab. Explore the SDK, whitepaper, API documentation, and core protocol implementation.
TypeScript SDK with full type definitions, protocol interfaces, and integration examples for Solana developers.
Technical documentation covering SILICS architecture, neural optimization algorithms, and predictive routing mechanisms.
Complete API documentation with endpoints, authentication, rate limits, and integration guides for the SILICS protocol.
Explore the complete SILICS codebase, SDK, and documentation on GitLab. Built transparently for the Solana ecosystem.
Get started with SILICS in minutes. Follow these steps to install the SDK and connect to the protocol.
npm install @silics/sdk # or yarn add @silics/sdk
import { SILICS } from '@silics/sdk'; const silics = new
SILICS({ rpcUrl: 'https://api.mainnet-beta.solana.com',
wallet: yourWalletAdapter, network: 'mainnet-beta' });
await silics.connect(); const strategy = await
silics.createStrategy({ riskTolerance: 'moderate', targetAPY:
6.5, rebalanceThreshold: 0.02 }); await
strategy.deploy();
const metrics = await silics.getMetrics();
console.log('TVL:', metrics.totalLiquidity);
console.log('APY:', metrics.averageAPY); console.log('Pools:',
metrics.activePools);
SILICS (Self-Improving Liquidity Intelligence and Coordination System) is an autonomous protocol designed to optimize capital allocation across Solana's decentralized exchange ecosystem. Through a three-layer neural architecture consisting of a Predictive Router, SILICS Core inference engine, and Neural Optimizer, the protocol achieves sub-millisecond execution speeds while maintaining 99.97% optimization accuracy.
The SILICS protocol operates through three specialized layers:
SILICS introduces several novel mechanisms to the Solana DeFi ecosystem:
• Autonomous Learning Cycles: Self-improving algorithms that
adapt to market conditions without human intervention •
Sub-millisecond Execution: Leveraging Solana's 400ms block times
for institutional-grade performance • Multi-DEX Coordination:
Unified liquidity management across Jupiter, Orca, and Drift
protocols • Risk-Adjusted Optimization: Dynamic position sizing
based on confidence index and historical volatility
Historical backtesting and live deployment data demonstrate:
SILICS employs multiple security layers including non-custodial architecture, rate limiting, circuit breakers, and has undergone comprehensive audits by leading blockchain security firms. All code is open source and available for community review.
The SILICS API provides programmatic access to protocol metrics, strategy management, and liquidity analytics.
const apiKey = 'your_api_key';
fetch('https://api.silics.io/v1/metrics', { headers: {
'Authorization': `Bearer ${apiKey}`, 'Content-Type':
'application/json' } });
Real-time data streams for live monitoring:
const ws = new WebSocket('wss://api.silics.io/v1/stream');
ws.on('message', (data) => { const update = JSON.parse(data); if
(update.type === 'pool_update') { console.log('Pool:',
update.pool); console.log('APY:', update.apy); } });
A comprehensive SDK for integrating SILICS autonomous liquidity management into your Solana applications.
import { SILICS, StrategyConfig } from '@silics/sdk'; const
config: StrategyConfig = { name: 'Conservative Growth',
riskTolerance: 'low', targetAPY: 5.0, minLiquidity: 1000,
maxSlippage: 0.005, rebalanceThreshold: 0.015, preferredDexs:
['jupiter', 'orca'], autoCompound: true }; const strategy =
await silics.createStrategy(config); await strategy.deploy({
amount: 10000 });
strategy.on('rebalance', (event) => {
console.log('Rebalanced:', event.pools); console.log('New APY:',
event.projectedAPY); }); strategy.on('yield', (event) => {
console.log('Yield earned:', event.amount); console.log('Total
yield:', event.totalYield); });
SILICS employs a three-layer neural architecture specifically designed for Solana's high-throughput environment. The system processes over 50,000 transactions per second across multiple DEX protocols while maintaining sub-millisecond decision latency.
The Predictive Router acts as the protocol's sensory layer, continuously monitoring market conditions across Jupiter, Orca, and Drift. It employs a hybrid forecasting model combining:
// Predictive Router Architecture class PredictiveRouter {
private timeSeriesEngine: ARIMAForecaster; private
sentimentAnalyzer: OnChainSentiment; private volumePredictor:
XGBoostModel; private correlationMatrix: RollingCorrelation;
async forecastPoolPerformance( pool: PoolIdentifier, horizon:
number = 900 // 15 minutes ): Promise<PoolForecast> {
const [ timeSeries, sentiment, volume, correlations ] = await
Promise.all([ this.timeSeriesEngine.predict(pool, horizon),
this.sentimentAnalyzer.analyze(pool),
this.volumePredictor.forecast(pool, horizon),
this.correlationMatrix.compute(pool) ]); // Ensemble prediction
with weighted averaging const confidenceWeights = { timeSeries:
0.35, sentiment: 0.20, volume: 0.30, correlations: 0.15 };
return this.ensemblePrediction({ timeSeries, sentiment, volume,
correlations, weights: confidenceWeights }); } async
detectAnomalies( pools: PoolIdentifier[] ):
Promise<Anomaly[]> { const features = await
this.extractFeatures(pools); return
this.isolationForest.predict(features); } }
The SILICS Core serves as the protocol's decision-making brain, processing inputs from the Predictive Router and executing capital allocation strategies. It implements:
// SILICS Core Implementation class SILICSCore { private
rlAgent: DeepQNetwork; private optimizer: PortfolioOptimizer;
private bandit: ThompsonSampling; private stateMachine:
ProtocolStateMachine; async allocateCapital( availableCapital:
BN, riskProfile: RiskProfile, constraints: AllocationConstraints
): Promise<AllocationDecision> { // Current state vector:
[pool_apys, volumes, correlations, // confidence_indices,
impermanent_loss_risks, gas_costs] const stateVector = await
this.buildStateVector(); // DQN forward pass for Q-value
estimation const qValues = await
this.rlAgent.predict(stateVector); // Apply risk-adjusted
portfolio optimization const candidateAllocations =
this.generateCandidates( qValues, availableCapital, constraints
); const optimalAllocation = this.optimizer.optimize(
candidateAllocations, riskProfile, { objective: 'sharpe_ratio',
constraints: { maxPoolConcentration: 0.30, minDiversification:
3, maxImpermanentLoss: riskProfile.ilTolerance } } ); //
Thompson Sampling for exploration if (Math.random() <
this.explorationRate) { return
this.bandit.sample(candidateAllocations); } return
optimalAllocation; } async executeRebalance( currentPositions:
Position[], targetAllocation: AllocationDecision ):
Promise<Transaction[]> { const rebalancePlan =
this.computeMinimalRebalance( currentPositions, targetAllocation
); // MEV-aware transaction ordering const orderedTxs = await
this.mevProtection.orderTransactions( rebalancePlan ); //
Execute with retry logic and slippage protection return
this.transactionExecutor.execute(orderedTxs, { maxSlippage:
0.005, retries: 3, priorityFee: 'dynamic' }); } }
The Neural Optimizer continuously refines positions based on real-time performance feedback. Key capabilities include:
// Neural Optimizer Implementation class NeuralOptimizer {
private learningRate: number = 0.001; private experienceBuffer:
ReplayBuffer; async optimize( strategy: Strategy,
performanceMetrics: PerformanceData ):
Promise<StrategyUpdate> { // Compute gradients from recent
performance const gradients = await this.computeGradients(
strategy, performanceMetrics ); // Update strategy parameters
using Adam optimizer const updatedParams =
this.adamOptimizer.step( strategy.parameters, gradients,
this.learningRate ); // Kelly Criterion for position sizing
const optimalSizes = this.kellyCalculator.compute(
strategy.positions, { confidenceIndex:
performanceMetrics.confidence, realizedVolatility:
performanceMetrics.volatility, winRate:
performanceMetrics.winRate } ); // MEV protection adjustments
const mevAdjustments = await this.mevDetector.analyze(
strategy.recentTransactions ); return { parameters:
updatedParams, positionSizes: optimalSizes, mevProtection:
mevAdjustments, confidenceIndex:
this.computeConfidence(performanceMetrics) }; } async
determineRebalanceFrequency( strategy: Strategy ):
Promise<number> { // Cost-benefit analysis of rebalancing
const expectedBenefit = await this.estimateRebalanceBenefit(
strategy ); const gasCost = await
this.estimateGasCost(strategy); // Optimal frequency where
marginal benefit = marginal cost return
this.solveOptimalFrequency(expectedBenefit, gasCost); } async
compoundYield( positions: Position[] ):
Promise<Transaction[]> { const harvestableYield = await
this.calculateHarvestable( positions ); // Only compound if
yield > gas costs + 5% buffer const minHarvestThreshold =
await this.computeMinThreshold( positions ); if
(harvestableYield.gt(minHarvestThreshold)) { return
this.executeCompound(positions, harvestableYield); } return [];
} }
SILICS processes market data through a high-performance streaming pipeline:
SILICS employs defense-in-depth security practices across all protocol layers, with particular emphasis on non-custodial architecture and user fund protection.
SILICS never takes custody of user funds. All liquidity management occurs through delegated transaction authority with strict limitations:
// Non-Custodial Authority Model #[account] pub struct
UserVault { pub owner: Pubkey, // User wallet pub authority:
Pubkey, // SILICS program authority pub approved_pools:
Vec<Pubkey>, // Whitelist pub delegation_expiry: i64, //
Unix timestamp pub max_slippage: u16, // Basis points pub
rebalance_only: bool, // No withdrawals } impl UserVault { pub
fn validate_transaction( &self, instruction:
&Instruction ) -> Result<()> { // Verify delegation
hasn't expired require!( Clock::get()?.unix_timestamp <
self.delegation_expiry, ErrorCode::DelegationExpired ); //
Ensure pool is whitelisted require!(
self.approved_pools.contains(&instruction.pool),
ErrorCode::PoolNotApproved ); // Enforce rebalance-only
restriction require!( instruction.is_rebalance() &&
!instruction.is_withdrawal(), ErrorCode::UnauthorizedOperation
); // Validate slippage protection require!(
instruction.slippage <= self.max_slippage,
ErrorCode::ExcessiveSlippage ); Ok(()) } }
All SILICS programs undergo rigorous security review and testing:
SILICS implements multiple layers of protection against extreme market conditions and system failures:
// Circuit Breaker System class CircuitBreaker { private state:
'CLOSED' | 'OPEN' | 'HALF_OPEN' = 'CLOSED'; private
consecutiveFailures: number = 0; async execute<T>(
operation: () => Promise<T> ):
Promise<Result<T>> { if (this.state === 'OPEN') { if
(this.shouldAttemptReset()) { this.state = 'HALF_OPEN'; } else {
return Err('CircuitBreakerOpen'); } } try { const result = await
operation(); this.onSuccess(); return Ok(result); } catch
(error) { this.onFailure(error); return Err(error); } } private
onFailure(error: Error): void { this.consecutiveFailures++; if
(this.consecutiveFailures >= FAILURE_THRESHOLD) { this.state
= 'OPEN'; this.notifyEmergencyShutdown(error); } } } // Rate
Limiting class RateLimiter { async checkRateLimit( strategy:
Strategy ): Promise<boolean> { const recentTxs = await
this.getRecentTransactions( strategy, Duration.minutes(5) ); //
Max 10 rebalances per 5 minutes if (recentTxs.length >= 10) {
await this.alertRateLimitExceeded(strategy); return false; } //
Max total volume 10% of pool TVL per hour const hourlyVolume =
await this.computeHourlyVolume(strategy); const poolTVL = await
this.getPoolTVL(strategy.pools); if
(hourlyVolume.gt(poolTVL.mul(0.10))) { await
this.alertVolumeExceeded(strategy); return false; } return true;
} } // Anomaly Detection & Auto-Pause class AnomalyMonitor {
async monitorAndRespond(): Promise<void> { const metrics =
await this.collectMetrics(); // Check for abnormal conditions
const anomalies = [ this.checkPriceDeviation(metrics),
this.checkVolumeSpike(metrics), this.checkUnusualGas(metrics),
this.checkRepeatedFailures(metrics),
this.checkSuspiciousMEV(metrics) ]; const detectedAnomalies =
anomalies.filter(a => a.detected); if
(detectedAnomalies.length > 0) { await this.pauseProtocol({
reason: 'AnomalyDetected', details: detectedAnomalies,
timestamp: Date.now() }); await
this.notifyAdmins(detectedAnomalies); } } }
SILICS has been audited by leading blockchain security firms:
We maintain a responsible disclosure program for security researchers. If you discover a vulnerability:
1. Email security@silics.io with details 2. Allow 90 days for
investigation and remediation 3. Do not publicly disclose until
patch is deployed 4. Bounties paid within 30 days of validated
reports PGP Key Fingerprint: 4A3B 9C2D 1E5F 7A8B 0C4E 9D6F 2B8A
3C7E 1D9F 5B4A
SILICS continuously monitors 128+ liquidity pools across Jupiter, Orca, and Drift, tracking 40+ metrics per pool in real-time. Our analytics engine processes over 2 million data points per hour.
interface PoolMetrics { pool: PublicKey; dex: 'jupiter' |
'orca' | 'drift'; tokenPair: [string, string]; apy: { current:
number; ma7d: number; ma30d: number; components: { tradingFees:
number; liquidityMining: number; tokenIncentives: number;
impermanentLoss: number; }; }; liquidity: { tvl: BN; depth: {
at_0_5_percent: BN; at_1_percent: BN; at_2_percent: BN; };
utilizationRate: number; concentrationScore: number; }; volume:
{ v24h: BN; v7d: BN; v30d: BN; volumeToTVL: number;
avgTradeSize: BN; tradeCount24h: number; }; risk: { volatility:
number; impermanentLoss: { probability: number; expected:
number; worst_case: number; }; sharpeRatio: number;
sortinoRatio: number; maxDrawdown: number; valueAtRisk: number;
}; } class PoolAnalytics { async getPoolMetrics(pool:
PublicKey): Promise<PoolMetrics> { const [apy, liq, vol,
risk] = await Promise.all([ this.calculateAPY(pool),
this.analyzeLiquidity(pool), this.aggregateVolume(pool),
this.assessRisk(pool) ]); return { pool, dex: await
this.identifyDEX(pool), apy, liquidity: liq, volume: vol, risk
}; } async calculateAPY(pool: PublicKey): Promise<APYData>
{ const poolState = await this.getPoolState(pool); const
transactions = await this.getRecentTransactions(pool, 30); const
totalFees = transactions.reduce((sum, tx) => sum + tx.fee,
0); const avgTVL = this.calculateAverageTVL(poolState,
transactions); const tradingFeeAPY = (totalFees / avgTVL) * (365
/ 30) * 100; const miningRewards = await
this.getLiquidityMiningRewards(pool); const miningAPY =
(miningRewards.annual / avgTVL) * 100; const incentives = await
this.getTokenIncentives(pool); const incentiveAPY =
(incentives.annual / avgTVL) * 100; const ilEstimate = await
this.estimateImpermanentLoss(pool, poolState, transactions);
const netAPY = tradingFeeAPY + miningAPY + incentiveAPY -
ilEstimate; return { current: netAPY, ma7d: await
this.calculateMovingAverage(pool, 7), ma30d: await
this.calculateMovingAverage(pool, 30), components: {
tradingFees: tradingFeeAPY, liquidityMining: miningAPY,
tokenIncentives: incentiveAPY, impermanentLoss: ilEstimate } };
} }
SILICS provides a flexible strategy configuration system allowing users to customize risk tolerance, target returns, rebalancing frequency, and pool preferences.
interface StrategyConfig { name: string; riskTolerance: 'low' |
'moderate' | 'high'; targetAPY: number; minLiquidity: number;
maxSlippage: number; rebalanceThreshold: number; preferredDexs:
('jupiter' | 'orca' | 'drift')[]; autoCompound: boolean;
poolWhitelist?: PublicKey[]; poolBlacklist?: PublicKey[];
maxPoolConcentration: number; minDiversification: number; }
class StrategyBuilder { async createStrategy(config:
StrategyConfig): Promise<Strategy> { // Validate
configuration this.validateConfig(config); // Initialize
strategy state const strategy = new Strategy({ id:
generateStrategyId(), config, createdAt: Date.now(), status:
'pending' }); // Run backtesting simulation const backtest =
await this.runBacktest(strategy, { duration: 90, // days
scenarios: 1000 }); if (backtest.expectedAPY <
config.targetAPY * 0.8) { throw new Error('Strategy unlikely to
meet target APY'); } // Optimize parameters const optimized =
await this.optimizeParameters(strategy, backtest); return
optimized; } async optimizeParameters( strategy: Strategy,
backtest: BacktestResult ): Promise<Strategy> { // Grid
search over parameter space const paramGrid = {
rebalanceThreshold: [0.01, 0.015, 0.02, 0.025, 0.03],
maxPoolConcentration: [0.25, 0.30, 0.35, 0.40],
minDiversification: [2, 3, 4, 5] }; let bestConfig =
strategy.config; let bestSharpe = -Infinity; for (const params
of this.generateParameterCombinations(paramGrid)) { const
testStrategy = strategy.clone(); testStrategy.config = {
...testStrategy.config, ...params }; const result = await
this.runBacktest(testStrategy, { duration: 30, scenarios: 100
}); if (result.sharpeRatio > bestSharpe) { bestSharpe =
result.sharpeRatio; bestConfig = testStrategy.config; } }
strategy.config = bestConfig; return strategy; } } // Usage
const builder = new StrategyBuilder(); const
conservativeStrategy = await builder.createStrategy({ name:
'Conservative Growth', riskTolerance: 'low', targetAPY: 5.0,
minLiquidity: 1000, maxSlippage: 0.005, rebalanceThreshold:
0.015, preferredDexs: ['jupiter', 'orca'], autoCompound: true,
maxPoolConcentration: 0.30, minDiversification: 4 }); const
aggressiveStrategy = await builder.createStrategy({ name: 'High
Yield', riskTolerance: 'high', targetAPY: 12.0, minLiquidity:
500, maxSlippage: 0.02, rebalanceThreshold: 0.025,
preferredDexs: ['jupiter', 'orca', 'drift'], autoCompound: true,
maxPoolConcentration: 0.40, minDiversification: 2 });
SILICS has been operating on Solana mainnet since Block #263,000 (approximately 6 months of live trading). Performance metrics are computed daily and audited monthly by third-party validators.
// 90-Day Performance Comparison (Oct 2024 - Jan 2025) Strategy
| Total Return | APY | Sharpe | Max DD
-----------------------|--------------|-------|--------|--------
SILICS Conservative | +4.2% | 6.1% | 2.31 | -8.1% SILICS
Moderate | +6.8% | 6.8% | 2.14 | -12.3% SILICS Aggressive |
+9.4% | 8.2% | 1.87 | -18.7% Manual LP (Benchmark) | +3.8% |
5.1% | 1.12 | -22.4% Passive HODL | +3.2% | 4.2% | 0.87 | -28.7%
Competing Protocol A | +4.9% | 5.6% | 1.43 | -16.2% Competing
Protocol B | +2.1% | 3.8% | 0.71 | -31.2% Risk-Adjusted
Performance (Sharpe Ratio): SILICS: 2.14 (46% better than manual
LP, 146% better than HODL) Capital Efficiency: SILICS: $6.84
yield per $100 deployed annually Manual LP: $5.10 yield per $100
deployed annually Improvement: +34% better capital efficiency
Impermanent Loss Mitigation: SILICS: -1.2% average IL across all
positions Manual LP: -3.7% average IL Protection: 68% reduction
in impermanent loss
SILICS implements comprehensive risk management across protocol operations, position sizing, and market exposure. Our framework combines quantitative risk models with circuit breakers and manual oversight.
class RiskManager { async evaluatePosition( position: Position,
marketConditions: MarketData ): Promise<RiskAssessment> {
// Calculate Value at Risk const var95 =
this.calculateVaR(position, 0.95, 30); // 95% confidence, 30
days const var99 = this.calculateVaR(position, 0.99, 30); //
Assess impermanent loss risk const ilRisk = await
this.assessILRisk(position); // Check concentration risk const
concentrationRisk = this.calculateConcentration(position); //
Evaluate correlation risk const correlationRisk = await
this.assessCorrelations(position); // Compute tail risk metrics
const tailRisk = this.calculateTailRisk(position); // Overall
risk score const riskScore = this.computeCompositeRisk({ var95,
var99, ilRisk, concentrationRisk, correlationRisk, tailRisk });
return { score: riskScore, level:
this.classifyRiskLevel(riskScore), metrics: { var95, var99,
ilRisk, concentrationRisk }, recommendations:
this.generateRecommendations(riskScore) }; } async
applyRiskLimits( allocation: AllocationPlan ):
Promise<AllocationPlan> { // Enforce position sizing
limits allocation = this.enforcePositionLimits(allocation); //
Apply concentration limits allocation =
this.enforceConcentrationLimits(allocation); // Adjust for
correlation allocation = await
this.adjustForCorrelation(allocation); // Apply Kelly Criterion
sizing allocation = this.applyKellySizing(allocation, 0.5); //
Half-Kelly return allocation; } async monitorAndReact(strategy:
Strategy): Promise<void> { const positions = await
strategy.getPositions(); for (const position of positions) {
const assessment = await this.evaluatePosition( position, await
this.getMarketConditions() ); // Trigger alerts for high risk if
(assessment.level === 'high') { await
this.sendRiskAlert(position, assessment); } // Auto-reduce
position if critical if (assessment.level === 'critical') {
await this.emergencyReducePosition(position, 0.5); // Reduce by
50% } // Stop-loss trigger if (position.unrealizedPnL <
position.initialValue * -0.15) { await
this.executeStopLoss(position); } } } }
SILICS provides comprehensive backtesting capabilities allowing strategies to be tested against 18+ months of historical Solana DEX data before deploying real capital.
interface BacktestConfig { strategy: StrategyConfig; startDate:
Date; endDate: Date; initialCapital: number; historicalData:
HistoricalDataset; simulationMode: 'historical' | 'monte_carlo'
| 'walk_forward'; scenarios?: number; // For Monte Carlo
slippageModel: 'conservative' | 'realistic' | 'optimistic';
includeCosts: boolean; } class BacktestEngine { async
runBacktest(config: BacktestConfig):
Promise<BacktestResult> { console.log(`Starting backtest:
${config.startDate} to ${config.endDate}`); // Load historical
market data const marketData = await this.loadHistoricalData(
config.startDate, config.endDate, config.historicalData ); //
Initialize strategy with historical state const strategy = await
this.initializeStrategy( config.strategy, config.initialCapital
); let portfolio = new Portfolio(config.initialCapital); const
trades: Trade[] = []; const dailyReturns: number[] = []; //
Simulate day by day for (const day of
this.generateTradingDays(config.startDate, config.endDate)) {
const dayData = marketData.getDay(day); // Generate signals
const signals = await strategy.generateSignals(dayData); //
Execute rebalancing if (this.shouldRebalance(signals,
strategy.config)) { const rebalanceTrades = await
this.executeRebalance( portfolio, signals, dayData,
config.slippageModel, config.includeCosts );
trades.push(...rebalanceTrades); } // Update portfolio values
portfolio.update(dayData); // Record daily return
dailyReturns.push(portfolio.calculateDailyReturn()); // Compound
yields if configured if (strategy.config.autoCompound) { await
this.compoundYield(portfolio, dayData); } } // Calculate
performance metrics return this.computeMetrics(portfolio,
trades, dailyReturns, config); } async runMonteCarloSimulation(
config: BacktestConfig ): Promise<MonteCarloResult> {
const scenarios = config.scenarios || 1000; const results:
BacktestResult[] = []; for (let i = 0; i < scenarios; i++) {
// Generate synthetic market data const syntheticData =
this.generateSyntheticMarket( config.historicalData,
config.startDate, config.endDate ); // Run backtest on synthetic
data const result = await this.runBacktest({ ...config,
historicalData: syntheticData }); results.push(result); if (i %
100 === 0) { console.log(`Completed ${i}/${scenarios}
scenarios`); } } // Aggregate results return
this.aggregateMonteCarloResults(results); } private
computeMetrics( portfolio: Portfolio, trades: Trade[],
dailyReturns: number[], config: BacktestConfig ): BacktestResult
{ const finalValue = portfolio.getValue(); const totalReturn =
(finalValue - config.initialCapital) / config.initialCapital;
const annualizedReturn = this.annualizeReturn(totalReturn,
dailyReturns.length); // Risk metrics const volatility =
this.calculateVolatility(dailyReturns); const sharpeRatio =
this.calculateSharpe(dailyReturns, volatility); const
sortinoRatio = this.calculateSortino(dailyReturns, volatility);
const maxDrawdown = this.calculateMaxDrawdown(dailyReturns);
const calmarRatio = annualizedReturn / Math.abs(maxDrawdown); //
Trade statistics const winRate = trades.filter(t => t.pnl
> 0).length / trades.length; const avgWin =
this.calculateAverage(trades.filter(t => t.pnl > 0).map(t
=> t.pnl)); const avgLoss =
this.calculateAverage(trades.filter(t => t.pnl < 0).map(t
=> t.pnl)); const profitFactor = Math.abs(avgWin / avgLoss);
// Cost analysis const totalCosts = trades.reduce((sum, t) =>
sum + t.costs, 0); const costImpact = (totalCosts /
config.initialCapital) * 100; return { summary: { totalReturn,
annualizedReturn, finalValue, initialCapital:
config.initialCapital }, risk: { volatility, sharpeRatio,
sortinoRatio, maxDrawdown, calmarRatio, var95:
this.calculateVaR(dailyReturns, 0.95), var99:
this.calculateVaR(dailyReturns, 0.99) }, trading: { totalTrades:
trades.length, winRate, avgWin, avgLoss, profitFactor,
avgTradeReturn: totalReturn / trades.length }, costs: {
totalCosts, costImpact, avgCostPerTrade: totalCosts /
trades.length }, dailyReturns, trades }; } } // Usage Example
const backtest = new BacktestEngine(); const result = await
backtest.runBacktest({ strategy: conservativeStrategy,
startDate: new Date('2024-01-01'), endDate: new
Date('2024-12-31'), initialCapital: 10000, historicalData: await
loadHistoricalData(), simulationMode: 'historical',
slippageModel: 'realistic', includeCosts: true });
console.log(`Total Return: ${(result.summary.totalReturn *
100).toFixed(2)}%`); console.log(`Sharpe Ratio:
${result.risk.sharpeRatio.toFixed(2)}`); console.log(`Max
Drawdown: ${(result.risk.maxDrawdown * 100).toFixed(2)}%`);
console.log(`Win Rate: ${(result.trading.winRate *
100).toFixed(2)}%`);
Walk-forward analysis tests strategy robustness by optimizing on historical data and validating on out-of-sample periods:
Integrate SILICS into your Solana application in minutes with our comprehensive SDK and examples.
import React, { useState, useEffect } from 'react'; import {
useWallet } from '@solana/wallet-adapter-react'; import { SILICS
} from '@silics/sdk'; function SILICSIntegration() { const {
publicKey, signTransaction } = useWallet(); const [silics,
setSilics] = useState(null); const [metrics, setMetrics] =
useState(null); const [loading, setLoading] = useState(false);
useEffect(() => { if (publicKey) { const client = new SILICS({
rpcUrl: process.env.REACT_APP_RPC_URL, wallet: { publicKey,
signTransaction }, network: 'mainnet-beta' });
setSilics(client); } }, [publicKey, signTransaction]); const
connectAndDeploy = async () => { setLoading(true); try { await
silics.connect(); const strategy = await silics.createStrategy({
name: 'My Strategy', riskTolerance: 'moderate', targetAPY: 6.5,
autoCompound: true }); await strategy.deploy({ amount: 1000 });
alert('Strategy deployed successfully!'); } catch (error) {
console.error('Deployment failed:', error); alert('Deployment
failed: ' + error.message); } finally { setLoading(false); } };
useEffect(() => { if (!silics) return; const interval =
setInterval(async () => { const m = await silics.getMetrics();
setMetrics(m); }, 5000); return () => clearInterval(interval);
}, [silics]); if (!publicKey) { return <div>Please connect
your wallet</div>; } return ( <div
className="silics-integration"> <h2>SILICS
Protocol</h2> {metrics && ( <div
className="metrics"> <div>TVL:
${metrics.totalLiquidity}</div> <div>APY:
{metrics.averageAPY}%</div> <div>Active Pools:
{metrics.activePools}</div> </div> )} <button
onClick={connectAndDeploy} disabled={loading}> {loading ?
'Deploying...' : 'Deploy Strategy'} </button> </div>
); }
// pages/api/silics-metrics.ts import type { NextApiRequest,
NextApiResponse } from 'next'; import { SILICS } from
'@silics/sdk'; export default async function handler( req:
NextApiRequest, res: NextApiResponse ) { try { const silics =
new SILICS({ rpcUrl: process.env.SOLANA_RPC_URL!, apiKey:
process.env.SILICS_API_KEY!, network: 'mainnet-beta' }); await
silics.connect(); const metrics = await silics.getMetrics();
const pools = await silics.getPools(); res.status(200).json({
metrics, pools: pools.slice(0, 10), // Top 10 pools timestamp:
Date.now() }); } catch (error) { res.status(500).json({ error:
error.message }); } } // pages/dashboard.tsx import useSWR from
'swr'; const fetcher = (url: string) => fetch(url).then(r
=> r.json()); export default function Dashboard() { const {
data, error } = useSWR('/api/silics-metrics', fetcher, {
refreshInterval: 5000 }); if (error) return <div>Failed to
load</div>; if (!data) return
<div>Loading...</div>; return ( <div>
<h1>SILICS Dashboard</h1> <div>TVL:
${data.metrics.totalLiquidity}</div> <div>APY:
{data.metrics.averageAPY}%</div> <h2>Top
Pools</h2> <ul> {data.pools.map(pool => ( <li
key={pool.address}> {pool.name}: {pool.apy}% APY </li>
))} </ul> </div> ); }
#!/usr/bin/env node // silics-cli.js const { SILICS } =
require('@silics/sdk'); const { Keypair } =
require('@solana/web3.js'); const fs = require('fs'); async
function main() { // Load wallet from keypair file const
keypairFile = process.env.HOME + '/.config/solana/id.json';
const keypairData = JSON.parse(fs.readFileSync(keypairFile,
'utf8')); const keypair =
Keypair.fromSecretKey(Uint8Array.from(keypairData)); //
Initialize SILICS const silics = new SILICS({ rpcUrl:
'https://api.mainnet-beta.solana.com', wallet: keypair, network:
'mainnet-beta' }); await silics.connect(); // Get current
metrics const metrics = await silics.getMetrics();
console.log('\\nSILICS Metrics:'); console.log(` TVL:
$${metrics.totalLiquidity.toLocaleString()}`); console.log(`
APY: ${metrics.averageAPY}%`); console.log(` Active Pools:
${metrics.activePools}`); // Create and deploy strategy
console.log('\\nCreating strategy...'); const strategy = await
silics.createStrategy({ name: 'CLI Strategy', riskTolerance:
'moderate', targetAPY: 6.0, autoCompound: true });
console.log('Deploying strategy...'); await strategy.deploy({
amount: 100 }); // 100 SOL console.log('\\nStrategy deployed
successfully!'); console.log(` Strategy ID: ${strategy.id}`);
console.log(` Initial Allocation: 100 SOL`); // Monitor strategy
console.log('\\nMonitoring strategy (Ctrl+C to exit)...');
setInterval(async () => { const performance = await
strategy.getPerformance(); console.log(` Current Value:
${performance.currentValue} SOL`); console.log(` PnL:
${performance.pnl} SOL (${performance.pnlPercent}%)`);
console.log(` APY: ${performance.apy}%`); }, 10000); }
main().catch(console.error);
Comprehensive troubleshooting guide for common SILICS integration and operation issues.
// Debug connection issues const silics = new SILICS({ rpcUrl:
process.env.RPC_URL, wallet: walletAdapter, network:
'mainnet-beta', debug: true, // Enable debug logging timeout:
30000 // Increase timeout to 30s }); try { await
silics.connect(); console.log('Connected successfully'); } catch
(error) { console.error('Connection failed:', error);
console.log('Retrying with backup RPC...');
silics.setRpcUrl(process.env.BACKUP_RPC_URL); await
silics.connect(); }
// Optimize API usage const silics = new SILICS({ rpcUrl:
process.env.RPC_URL, wallet: walletAdapter, network:
'mainnet-beta', caching: { enabled: true, ttl: 5000 // Cache for
5 seconds }, rateLimit: { maxRequests: 100, perPeriod: 3600000
// per hour } }); // Use WebSocket for real-time updates const
ws = silics.createWebSocket(); ws.on('metrics', (data) => {
console.log('Real-time metrics:', data); });
$SLC is the governance and utility token for the SILICS protocol, enabling holders to participate in protocol decisions and access premium features.
Total Supply: 1,000,000,000 $SLC Distribution: - Public Sale:
30% (300M $SLC) * Fair launch on Jupiter LFG Launchpad * No
presale, no private rounds - Liquidity Provision: 25% (250M
$SLC) * Locked in Jupiter, Orca, Raydium pools * Gradual unlock
over 12 months - Team & Advisors: 20% (200M $SLC) * 12-month
cliff, 36-month linear vesting * Locked in multi-sig with
timelock - Protocol Treasury: 15% (150M $SLC) * Controlled by
DAO governance * For partnerships, grants, development -
Ecosystem Incentives: 10% (100M $SLC) * Liquidity mining rewards
* User acquisition campaigns * Referral program
// $SLC Staking Implementation interface StakingTier { name:
string; minStake: number; // $SLC tokens feeDiscount: number; //
percentage votingPower: number; // multiplier priorityAccess:
boolean; } const STAKING_TIERS: StakingTier[] = [ { name:
'Bronze', minStake: 1000, feeDiscount: 10, votingPower: 1.0,
priorityAccess: false }, { name: 'Silver', minStake: 10000,
feeDiscount: 25, votingPower: 1.25, priorityAccess: true }, {
name: 'Gold', minStake: 100000, feeDiscount: 40, votingPower:
1.5, priorityAccess: true }, { name: 'Platinum', minStake:
1000000, feeDiscount: 50, votingPower: 2.0, priorityAccess: true
} ]; class SLCStaking { async stake(amount: BN, duration:
number): Promise<StakePosition> { // Validate minimum
stake require(amount.gte(new BN(1000)), 'Minimum stake: 1000
$SLC'); // Transfer tokens to staking vault await
this.transferToVault(amount); // Calculate rewards based on
duration const apr = this.calculateAPR(duration); // Create
stake position return { amount, duration, apr, startTime:
Date.now(), endTime: Date.now() + duration, rewardsAccrued: new
BN(0), tier: this.determineTier(amount) }; } async
unstake(position: StakePosition): Promise<void> { // Check
if lock period expired if (Date.now() < position.endTime) {
// Early withdrawal penalty: 10% const penalty =
position.amount.mul(new BN(10)).div(new BN(100)); await
this.applyPenalty(penalty); } // Return staked tokens + rewards
const total = position.amount.add(position.rewardsAccrued);
await this.transferFromVault(total); } private
calculateAPR(duration: number): number { // Longer staking =
higher APR const durationMonths = duration / (30 * 24 * 60 * 60
* 1000); if (durationMonths >= 12) return 50; // 50% APR for
12+ months if (durationMonths >= 6) return 30; // 30% APR for
6-12 months if (durationMonths >= 3) return 20; // 20% APR
for 3-6 months return 10; // 10% APR for <3 months } }
SILICS is transitioning to a fully decentralized autonomous organization (DAO) governed by $SLC token holders. All major protocol decisions will be made through community voting.
// SILICS Governance Process Step 1: Temperature Check (Forum
Discussion) - Post proposal on governance forum - Community
discusses for minimum 3 days - Gather feedback and refine
proposal Step 2: Formal Proposal (Snapshot Vote) - Create formal
proposal on Snapshot - Requires 100,000 $SLC to create proposal
- Voting period: 7 days - Quorum: 10% of circulating supply Step
3: Implementation (Timelock) - Passed proposals enter 48-hour
timelock - Timelock allows community to react to malicious
proposals - After timelock, proposal executes on-chain Example
Proposal: { title: "Reduce Performance Fee from 10% to 8%",
description: "Lower fees to attract more users...", proposer:
"0x123...789", votingPeriod: 7 days, options: ["For", "Against",
"Abstain"], quorum: 10000000, // 10M $SLC (10% of supply)
timelock: 48 hours }
SILICS implements sophisticated MEV (Maximal Extractable Value) protection to prevent sandwich attacks and front-running.
class MEVProtection { async protectTransaction(tx:
Transaction): Promise<Transaction> { // 1. Private mempool
submission const privateRPC = this.getPrivateRPC(); // 2.
Transaction timing randomization const delay = Math.random() *
2000; // 0-2 second random delay await this.sleep(delay); // 3.
Slippage protection tx.slippageTolerance =
Math.min(tx.slippageTolerance, 0.005); // Max 0.5% // 4. Split
large orders if (tx.amount.gt(this.LARGE_ORDER_THRESHOLD)) {
return this.splitOrder(tx); } // 5. Priority fee optimization
const optimalFee = await this.calculateOptimalPriorityFee();
tx.priorityFee = optimalFee; return tx; } async
detectSandwichAttack(tx: Transaction): Promise<boolean> {
const recentTxs = await this.getRecentMempoolTxs(); // Look for
suspicious patterns const suspiciousFrontRun = recentTxs.find(t
=> t.pool === tx.pool && t.direction === tx.direction
&& t.timestamp > tx.timestamp - 1000 ); const
suspiciousBackRun = recentTxs.find(t => t.pool === tx.pool
&& t.direction === this.oppositeDirection(tx.direction)
&& t.timestamp < tx.timestamp + 1000 ); return
Boolean(suspiciousFrontRun && suspiciousBackRun); }
}
SILICS optimizes Solana compute units to minimize transaction costs while ensuring fast execution.
class ArbitrageDetector { async findArbitrageOpportunities():
Promise<Opportunity[]> { const opportunities:
Opportunity[] = []; // Get prices from all DEXs const
jupiterPrices = await this.getJupiterPrices(); const orcaPrices
= await this.getOrcaPrices(); const driftPrices = await
this.getDriftPrices(); // Compare prices across DEXs for (const
tokenPair of this.MONITORED_PAIRS) { const prices = { jupiter:
jupiterPrices.get(tokenPair), orca: orcaPrices.get(tokenPair),
drift: driftPrices.get(tokenPair) }; // Find min and max prices
const minDex = this.argmin(prices); const maxDex =
this.argmax(prices); const priceDiff = (prices[maxDex] -
prices[minDex]) / prices[minDex]; // Profit must exceed costs
const estimatedCosts = await this.estimateCosts(tokenPair,
minDex, maxDex); const minProfitableSpread = (estimatedCosts /
TRADE_SIZE) * 1.5; // 50% margin if (priceDiff >
minProfitableSpread) { opportunities.push({ tokenPair, buyDex:
minDex, sellDex: maxDex, spread: priceDiff, estimatedProfit:
TRADE_SIZE * priceDiff - estimatedCosts }); } } return
opportunities.sort((a, b) => b.estimatedProfit -
a.estimatedProfit); } }